A semi-supervised learning algorithm based on modified self-training SVM

Journal of Computers

Volumn 6, Issue 7, 2011, Pages 1438-1443

  Jin, Yun ^a,b,c   Huang, Chengwei ^a   Zhao, Li ^a  

^a SOUTHEAST UNIVERSITY   (China)

^b JIANGSU NORMAL UNIVERSITY   (China)

^c Southeast University   (China)

Author keywords

Self training; Semi supervised learning; SVM; UCI

Indexed keywords

CO-TRAINING; MIXTURE MODEL; MODIFIED ALGORITHMS; SELF-TRAINING; SEMI-SUPERVISED; SEMI-SUPERVISED LEARNING; SVM; SVM ALGORITHM; TRANSDUCTIVE SVM; UCI;

SUPERVISED LEARNING;

LEARNING ALGORITHMS;

EID: 79960726906     PISSN: 1796203X     EISSN: None     Source Type: Journal    
DOI: 10.4304/jcp.6.7.1438-1443     Document Type: Article

References (13)

1. X. Zhu, "Semi-Supervised Learning Literature Survey, " Department of Computer Sciences, University of Wisconsin at Madison, Madison, WI2008.
2. O'Neill and T. J, "Normal discrimination with unclassified observations, " Journal of American Statistical Association, vol. 73, pp. 821-826, 1978.
3. K. Nigam, et al., "Text classificaiton from labeled and unlabeled documents using EM, " Machine Learning, vol. 39(2/3), pp. 103-134, 2000.
4. C. Rosenberg, et al., "Semi-supervised self-training of object detection models, " Seventh IEEE Workshop on Applications of Computer Vision, 2005.
5. A. Blum and T. Mitchell, "Combining labeled and unlabeled data with co-training., " Proc. Conf. on Computational Learning Theory, pp. 92-100, 1998.
6. O. Chapelle and A. Zien, "Semi-supervised classfication by low density separtion., " Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 2005.
7. D. Zhou, et al., "Semi-supervised learning on directed graphs, " Advances in Neural Information Processing Systems, vol. 16, 2004.
8. F. G. Cozman, et al., "Semi-Supervised Learning of Mixture Models, " Proceedings of the Twentieth International Conference on Machine Learning(ICML-2003), 2003.
9. V. Vapnik, "Statistical Learning Theory, " Springer, 1998.
10. L. Didaci and F. Roli, "Using Co-training and Self-training in Semi-supervised Multiple Classifier System, " Lecture Notes in Computer Science, vol. 4109, pp. 522-530, 2006.
11. C. G. Yuanqing Li, Huiqi Li, Zhengyang Chin, "A self-training semi-supervised SVM algorithm and its application in an EEGbased brain computer interface speller system, " Pattern Recognition Letters, vol. 29, pp. 1285-1294, 2008.
12. I. P. Irene Kotsia, "Facial Expression Recognition in Image Sequences Using Geometric Dformation Features and Support Vector Machines, " IEEE Transactions on Image Processing, vol. 16, 2007.
13. C.-J. L. Chih-Chung Chang, "LIBSVM: a Library for Support Vector Machines, " Software available at http://www.csie.ntu.edu.tw/~cjlin/libsvm/, 2006.